Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
Learn Cloud Rightsizing Concepts in 2026: utilization, recommendations, safe resizing, commitments, and the controls every cost program needs.
Learn Chaos Engineering Concepts in 2026: hypotheses, blast-radius control, experiments, game days, and the controls every resilience program needs.
Learn Managed AI Services Concepts in 2026: scope, SLAs, model governance, exit terms, and the questions every engineering leader should ask a partner.
Learn Data Cataloging Concepts in 2026: metadata, lineage, search, governance, and the controls every data catalog needs to stay trusted.
Learn Deployment Automation Concepts in 2026: pipelines, progressive delivery, rollback, compliance gates, and the controls every release process needs.
Learn Data Lakehouse Architecture Concepts in 2026: open table formats, the medallion model, governance, performance, and the controls every platform needs.
Learn Agentic AI Workflows Concepts in 2026: task decomposition, orchestration, human handoffs, evaluation, and the controls every production workflow needs.
Learn Monolith to Microservices Concepts in 2026: seams, the strangler pattern, data decomposition, contracts, and the controls every migration needs.
Learn ELT Modernization Concepts in 2026: extract-load-transform, the warehouse as compute, orchestration, testing, and the controls every pipeline needs.
Learn GPU Cost Optimization Concepts in 2026: utilization, right-sizing, scheduling, inference efficiency, and the controls every GPU program needs.
Learn Scalable Cloud Architecture Concepts in 2026: statelessness, data partitioning, autoscaling, resilience, and the controls every production system needs.
Learn FinOps Concepts in 2026: cost visibility, allocation and showback, unit economics, optimization, and the controls every cloud spend program needs.
Learn LLMOps Concepts in 2026: prompt and model versioning, evaluation, observability, cost control, and the controls every production LLM system needs.
Learn Enterprise LLM Integration Concepts in 2026: retrieval, grounding, evaluation, cost control, and the guardrails every production LLM feature needs.
Learn Data Reliability Engineering Concepts in 2026: SLAs for data, freshness and quality checks, incident response, and the controls every production pipeline needs.
How to secure the AI supply chain, models, weights, and dependencies, with provenance, verification, and the controls that prevent compromised AI components.
How to design multi-region active-active without the headaches: data consistency, conflict handling, and routing, so the resilience is real and the complexity managed.
How to set data SLAs you can deliver: promising freshness grounded in pipeline reality, measured and met, so data consumers can trust the commitments.
How to set autoscaling policies for spiky AI traffic that balance capacity and cost: scaling fast enough for spikes without paying for peak continuously.
Why the observability bill can exceed compute, and how to control it: sampling, retention, and cardinality discipline that keep telemetry valuable and affordable.
How to set cost guardrails for AI that prevent bill shock: budgets, alerts, and hard limits on inference spend, so a runaway cost is caught before the invoice.
How to pick a first enterprise AI use case that won't embarrass you: choosing for a clear win, bounded risk, and measurable value, so the program earns its next step.
How to manage feature flag debt after progressive delivery: retiring stale flags, so the codebase stays clean and flags do not become complexity and risk.
How to do multi-account AWS showback without spreadsheets: automated cost attribution by account and team, so cost accountability is continuous rather than a manual chore.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
